Job Title: Senior Data Engineer
Location: Remote in LATAM
About the Role
We are looking for a Senior Data Engineer to help us build scalable, reliable, and high-performance data infrastructure. You will play a key role in designing and implementing data pipelines, managing large-scale datasets, and enabling advanced analytics and machine learning across the organization.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines
Collaborate with data analysts, scientists, and product teams to define data needs
Optimize data architectures for performance, reliability, and scalability
Build and maintain data models and integrations using cloud-native tools
Ensure data quality, integrity, and security across all systems
Monitor and troubleshoot data pipeline issues in production environments
Guide and mentor junior data engineers and promote best practices
What We are Looking For
5+ years of experience in data engineering or a related field
Strong programming skills in Python, Scala, or Java
Hands-on experience with modern data stack technologies (e.g., Spark, Airflow, dbt, Kafka)
Proficiency with cloud platforms like AWS, GCP, or Azure
Experience working with data warehouses (e.g., Snowflake, BigQuery, Redshift)
Solid understanding of SQL and distributed systems
Strong problem-solving skills and attention to detail
Nice to Have
Experience with streaming data architectures
Familiarity with CI/CD pipelines and DevOps practices
Why Join Us?
We offer a supportive and rewarding work environment with a range of benefits designed to help you thrive:
If you meet these requirements and are interested in applying for this position, please let us know. We look forward to the possibility of working with you.
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